Evidence map›Paper›PMID 36169925›Full record

ArticleACS applied materials & interfaces2022

Robust Underwater Oil-Repellent Biomimetic Ceramic Surfaces: Combining the Stability and Reproducibility of Functional Structures.

Ming Li, Shitong Zhou, Qingwen Guan, Weijun Li, Chang Li, Florian Bouville, Hao Bai, Eduardo Saiz

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Inorganic/Inorganic Composites Through Emulsion Templating.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ming LiCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0002-9564-7522
Shitong ZhouCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London SW7 2AZ, U.K.
Qingwen GuanSchool of Chemistry, University of Glasgow, Glasgow G12 8QQ, U.K.ORCID 0000-0003-0824-7932
Weijun LiState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Chang LiDepartment of Mechanical Engineering, City and Guilds Building, Imperial College London, London SW7 2AZ, U.K.
Florian BouvilleCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0002-1527-5045
Hao BaiState Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-3348-6129
Eduardo SaizCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0002-2127-7282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust underwater oil-repellent materials combining high mechanical strength and durability with superwettability and low oil adhesion are needed to build oil-repellent devices able to work in water, to manipulate droplet behavior, etc. However, combining all of these properties within a single, durable material remains a challenge. Herein, we fabricate a robust underwater oil-resistant material (Al

Indexed as

biomimeticceramicmechanical stabilitystructure reproducibilityunderwater low oil adhesionunderwater superoleophobic

Identifiers

PMID36169925
PMCPMC9562273

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.